3 papers
cs.GT2023
Learning Parameterized Families of Games
Madelyn Gatchel, Bryce Wiedenbeck
Nearly all simulation-based games have environment parameters that affect incentives in the interaction but are not explicitly incorporated into the game model. To understand the i…
cs.GT2023
Data Structures for Deviation Payoffs
Bryce Wiedenbeck, Erik Brinkman
We present new data structures for representing symmetric normal-form games. These data structures are optimized for efficiently computing the expected utility of each unilateral p…
cs.DC2021
Seriema: RDMA-based Remote Invocationwith a Case-Study on Monte-Carlo Tree Search
Hammurabi Mendes, Bryce Wiedenbeck, Aidan O'Neill
We introduce Seriema, a middleware that integrates RDMA-based remote invocation, asynchronous data transfer, NUMA-aware automatic management of registered memory, and message aggre…